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finetune support continue_training #8615

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Jun 18, 2024
Merged

finetune support continue_training #8615

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4 changes: 2 additions & 2 deletions llm/argument.py
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Original file line number Diff line number Diff line change
Expand Up @@ -120,9 +120,9 @@ class ModelArgument:
attention_probs_dropout_prob: float = field(default=0.1, metadata={"help": "The attention hidden dropout prob."})

continue_training: bool = field(
default=False,
default=True,
metadata={
"help": "Pre-training from existing paddlenlp model weights. Default False and model will train from scratch. If set True, the model_name_or_path argument must exist in the paddlenlp models."
"help": "Whether to train from existing paddlenlp model weights. If set True, the model_name_or_path argument must exist in the paddlenlp models."
},
)
weight_quantize_algo: str = field(
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2 changes: 1 addition & 1 deletion llm/finetune_generation.py
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Expand Up @@ -178,7 +178,7 @@ def main():

model_class = AutoModelForCausalLMPipe

if not training_args.autotuner_benchmark:
if model_args.continue_training and not training_args.autotuner_benchmark:
model = model_class.from_pretrained(
model_args.model_name_or_path,
config=model_config,
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